{"id":"W2124110615","doi":"10.22230/ijepl.2009v4n1a161","title":"Exploring the Impact of Applicants’ Gender and Religion on Principals’ Screening Decisions for Assistant Principal Applicants","year":2009,"lang":"en","type":"article","venue":"International Journal of Education Policy and Leadership","topic":"Social and Intergroup Psychology","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prejudice (legal term); Psychology; Social psychology; Affect (linguistics); Diversity (politics); Principal (computer security); Selection (genetic algorithm); Stratified sampling; Sample (material); Personnel selection; Political science; Management; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00846406,0.0002495766,0.0002768974,0.0004216362,0.001262025,0.001202278,0.0002666146,0.0004868646,0.003664165],"category_scores_gemma":[0.0218106,0.0001907162,0.0002392987,0.0002993208,0.000714933,0.0004644817,0.0006647769,0.0007296246,0.0004502599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003014946,"about_ca_system_score_gemma":0.0008195548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001020922,"about_ca_topic_score_gemma":0.002553948,"domain_scores_codex":[0.9962076,0.002828961,0.0001065002,0.000151212,0.0003629574,0.0003428177],"domain_scores_gemma":[0.9855456,0.007837867,0.003277883,0.0007310268,0.0007279191,0.001879727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005139139,0.008164514,0.8846593,0.00009615806,0.00005231065,0.0006188661,0.02054258,0.0003414391,0.01375186,0.001228328,0.0006144463,0.06479103],"study_design_scores_gemma":[0.0003176133,0.01072647,0.9567648,0.00004686057,0.0000449725,0.000333321,0.02289227,0.002046927,0.003738027,0.0009935328,0.002055916,0.00003935979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992507,0.00000858894,0.00008177912,0.00004413618,0.000005153646,0.00002391035,0.000002708874,0.000001042129,0.0005820195],"genre_scores_gemma":[0.9992829,0.0000148272,0.0002121885,0.0000340467,0.000007371267,0.00001992012,0.000005236341,5.901832e-7,0.0004229922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00846406,"threshold_uncertainty_score":0.04476273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4876009393516358,"score_gpt":0.488408010747957,"score_spread":0.0008070713963211906,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}